Practical Approaches To Project Based Learning Incorporating Peer Feedback In Order To Enhance Creativity In Engineering Courses
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Notice bibliographique
Résumé
We report on innovative approaches to integrating student feedback into teaching engineering physics courses.Project-based learning, presentations, and peer-feedback contributed to an enhanced class experience.This interactive method was applied in Optics and Engineering Measurements courses.The Optics course was mainly focused on geometrical optics with a survey of wave optics.In order to compensate for the lack of laboratory work, an optics project was introduced alongside class demos.Students browsed for possible topics for a couple of weeks and then proposed one based on instructor's feedback.The project concluded with a short presentation of the work in front of the class and a brief written report.In order to increase class interest in the project, the presentation took the form of a competition and the winner(s) were chosen by the class, who judged the presentations according to preset criteria.Student feedback was recorded and quantized, and the peer evaluation and feedback were returned to the presenters.The winners received small prizes in recognition of their performance.Interesting project ideas were formulated and some were implemented, although not always with the expected outcomes.Students enjoyed the peer feedback system, which exposed them to a different perspective on and evaluation of their work.For the Engineering Measurements course, students did small group projects on topics of common interest to group members.Group oral presentations and individual written reports replaced the traditional final exam.Subjects included topics such as magnetooptics, urban astronomy, acoustics, electro-mechanics, solar power, stress-strain measurements, laser beam divergence, and Brewster angle for different materials.Faculty attended presentations and participated with the students in the evaluation of the presentations using evaluation sheets provided in advance.Students preferred this type of examination to the stress of the final exam, despite devoting at least as much time and effort to their project and presentation as they would to traditional final exam preparation.Peer and faculty feedback during the term was particularly effective in enhanced collaboration, negotiations, and task prioritizing for successful project completions.In both teaching approaches, the project presentations involving peer feedback and student competition created an effervescent atmosphere and debates, and maintained student interest and participation.In a collaborative yet competitive environment, students learned to use laboratory equipment as well as their own resources.We report on the enhanced class experience, successes, and shortcomings of the project-based peerevaluation method used in the classroom.The effectiveness shown in the Optics and Measurements classes indicates that this teaching approach is more generally applicable to other project-based courses.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle